The first focus of this thesis is to solve a stochastic convex minimization problem over an arbitrary family of nonempty, closed and convex sets. The problem has random features. Gradient or subgradient of objective function ...

With increasing proportion of windpower, an important concern is that of maintaining the reliability of the electric grid in the face of higher supply-side volatility. In this paper, we examine the role of risk-based ...

It is estimated that there are over 2 million manual wheelchair users in the United States. Up to 70% of manual wheelchair users report upper limb pain, which is mainly manifested in the shoulder and wrist. Shoulder pain ...

Stochastic approximation (SA) methods, first proposed by Robbins and Monro in 1951 for root- finding problems, have been widely used in the literature to solve problems arising from stochastic convex optimization, stochastic ...

The stochastic sequential assignment problem (SSAP) studies the allocation of available distinct workers with deterministic values to sequentially-arriving tasks with stochastic parameters so as to maximize the expected ...

In the final part of this thesis, we address a class of stochastic programs with discrete first stage decisions and decision-dependent uncertainties. These problems are formulated as 0--1 hyperbolic programs for which we ...

Despite pediatric vaccines are considered the worlds' most cost-effective public health weapon, the global vaccine supply is weak, and its sustainability cannot be guaranteed. Vaccine manufacturing processes are complex, ...

Wagering is common in various arenas that include but not limited to horse racing, casinos, financial markets and stock trading. Several market mechanisms are used in these markets to predict the outcome based on the ...

Overall, the results revealed that the integrated, human-computer architecture supported including humans into the loop without loss in judgment quality. In some cases, the joint, human-computer system outperformed either ...